Excerpts

Using Bray–Curtis distance metrics, the differences in microbial community composition were highly significant ( p < 0.001).

As for KRAS , such a heterogeneous distribution of PIK3CA mutations was found highly significant [p<0.001 (OR, 2.45; 95% CI, 2.36-2.55); p normalized scientific notation = 5.9 x 10 -4 ].

Mann–Kendall analysis confirmed a highly significant upward trend (Kendall tau, 0.992, p<0.001).

The general population showed a highly significant estimate of −0.021 ( P < .001).

The combination of P276-00 and gemcitabine showed highly significant apoptosis of 25.4% and 73% at 96 h and 120 h respectively as compared to either drug alone ( p < 0.001).

The Huynh-Feldt corrected results showed a highly significant main effect with a large effect size [F (1.594, 65.365) = 378.372, p < 0.001, η p 2 = 0.902].

The overall dietary pattern score showed a highly significant difference between households with fewer members and those with more members ( p < 0.001), highlighting the substantial role household size plays in shaping overall dietary habits. 4.

GSI and interpersonal sensitivity were found to be markedly significant (OR 12.87, 95% CI 3.96-41.78, P <.001; OR 23.18, 95% CI 5.35-100.46, P =.001) respectively.

Particularly, albeit the overall INTERVENTION × TIME interaction (Wilks’ λ = 0.875, F 18,583.141 = 1.572, p = 0.062) failed to reach statistical significance, an INTERVENTION × TIME interaction on IAR inter-subject difference was significant ( F 6,208 = 4.270, p < 0.001).

The overall trend over the five years period (2011 to 2015) showed a highly significant decrease in the ZI ( β = − 0.286, P < 0.001), while no significant trend was observed in the ZNI ( β = − 0.087, P = 0.219) (Fig. 2 ).

In maternal transmissions, the overrepresentation was only 5.4 fold and 7.1 fold in chip and sequencing datasets, respectively, albeit highly significant (p-value < 0.001, for both datasets).

A highly significant and dose-dependent decrease in the percentage of oxidized CoQ10 was observed both at 4 weeks (F = 11.023, p < 0.001) and at 8 weeks (F = 10.087; p < 0.001), although the difference between 4 and 8 weeks was not significant (paired t-test; placebo, p = 0.183; 100 mg/day, p = 0.523; 200 mg/day, p = 0.356).

A two-way ANOVA showed highly significant differences ( p < 0.001) in enzyme activities for the factors, cultivar, years, and the interaction between cultivar and year.

The prevalence of obesity in all age subgroups showed an increasing trend over time in boys as well as in girls (p<0.001).

The increase between these two timepoints was highly significant (93.4%, P < 0.001).

Joint variance analysis using mixed-model ANOVA revealed highly significant effects ( p < 0.001) for both genotype (F = 73) and ratoon year (F = 2) factors, accounting for 37.43% and 0.68% of total variance, respectively.

Statistical analysis revealed highly significant effects ( p < 0.001) for most factors, including sample, day, and their interactions, while proofing time alone did not show significant effects.

Similarly, all time coefficients are highly significant (p < 0.001).

The Mann–Whitney test did not show statistically significant differences regarding the IgA concentrations between the two groups examined, while the difference was statistically highly significant for IL-6 levels ( p -value < 0.001).

Moreover, even though all three experiments were carried out under the same greenhouse conditions, ANOVAs showed highly significant differences ( p < 0.001) between the replications.

The analysis showed highly significant correlations for the total FBa score ( n = 149, r = 0.422, p < 0.001), as well as for the following domains: role behavior ( n = 150, r = 0.396, p < 0.001), communication ( n = 150, r = 0.363, p < 0.001), emotionality ( n = 151, r = 0.411, p < 0.001), affective relationship ( n = 151, r = 0.527, p < 0.001), control ( n = 151, r = 0.582, p < 0.001), and values and norms ( n = 151, r = 0.465, p < 0.001).

Comparing mentalizing, emotional self-experiences and all other categories combined (Table 3 ), this difference was highly significant, X (2) = 15.46, P < 0.001.

Group comparisons (excluding “Case study” and “Non-BB schools”) using the Pearson chi-square test of independence showed a highly significant difference in school participation on the basis of recruitment method, χ 2 (1, n = 732) = 127.870, p < .001, but no significant difference on the basis of area socioeconomic status.

The data heterogeneity was highly significant, with a chi-square p-value of <0.001.

In non-matched force-rotation, interference was highly significant (Figure 5 D CF vs. nFR (7) , post-hoc , p < 0.001).